Question Paper
Class / Subject: Class 9 (CBSE) · Artificial Intelligence
Chapter: Chapter 3 — Chapter 3: Data Science and Data Literacy
Time Allowed: 32 minutes
Max Marks: 16
1. What does data science involve? [1]
(A) Collecting, analysing and interpreting data
(B) Only storing data without analysis
(C) Ignoring all data
(D) Only deleting data
2. What do data scientists do to raw data? [1]
(A) Clean it to remove errors
(B) Ignore errors completely
(C) Delete all of it
(D) Never analyse it
3. What is data literacy? [1]
(A) Understanding how to read and use data effectively
(B) Only collecting data
(C) Ignoring data entirely
(D) Only creating graphs without understanding
4. What should data-literate people recognise? [1]
(A) Misleading graphs or statistics
(B) Nothing about data
(C) Only correct data, never errors
(D) Only numbers, not context
5. Where is data used to make decisions? [1]
(A) Healthcare, business and government
(B) Nowhere important
(C) Only in video games
(D) Only in sports
6. What can data help identify? [1]
(A) Trends and predict outcomes
(B) Nothing useful
(C) Only random numbers
(D) Only past events, never future ones
7. Why develop data literacy skills? [1]
(A) To become informed citizens and consumers
(B) No reason
(C) Only for data scientists
(D) It's not useful
8. What methods do data scientists use to find patterns? [1]
(A) Statistical and computational methods
(B) Guessing randomly
(C) Ignoring the data
(D) Only manual counting
9. What does data science involve? [1]
(A) Collecting, analysing and interpreting data
(B) Only storing data without analysis
(C) Ignoring all data
(D) Only deleting data
10. What do data scientists do to raw data? [1]
(A) Clean it to remove errors
(B) Ignore errors completely
(C) Delete all of it
(D) Never analyse it
11. What is data literacy? [1]
(A) Understanding how to read and use data effectively
(B) Only collecting data
(C) Ignoring data entirely
(D) Only creating graphs without understanding
12. What should data-literate people recognise? [1]
(A) Misleading graphs or statistics
(B) Nothing about data
(C) Only correct data, never errors
(D) Only numbers, not context
13. Where is data used to make decisions? [1]
(A) Healthcare, business and government
(B) Nowhere important
(C) Only in video games
(D) Only in sports
14. What can data help identify? [1]
(A) Trends and predict outcomes
(B) Nothing useful
(C) Only random numbers
(D) Only past events, never future ones
15. Why develop data literacy skills? [1]
(A) To become informed citizens and consumers
(B) No reason
(C) Only for data scientists
(D) It's not useful
16. What methods do data scientists use to find patterns? [1]
(A) Statistical and computational methods
(B) Guessing randomly
(C) Ignoring the data
(D) Only manual counting